Resilient energy-to-peak filtering for linear parameter-varying systems under random access protocol

Haoyang Yu, Jun Hu, Baoye Song*, Hongjian Liu, Xiaojian Yi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

In this paper, we consider the energy-to-peak filtering issue for a class of linear parameter-varying (LPV) systems with time delays subject to certain communication regulation under which only one sensor is allowed to transmit its measurement data at each transmission instant. The data communication is regulated by the random access protocol (RAP) for the purpose of avoiding data collisions. The main purpose of this paper is to design an LPV filter such that the resultant filtering error system is asymptotically stable and also satisfies the prescribed (Formula presented.) - (Formula presented.) performance in the mean square. Taking into account both the LPV nature and the possible gain perturbations, a parameter-dependent resilient filter is constructed according to the plant dynamics and scheduling behaviour of the RAP. The desired filter gain matrices are obtained by solving a set of linear matrix inequalities. Finally, a simulation example is given to validate the effectiveness and correctness of the filter design scheme.

Original languageEnglish
Pages (from-to)2421-2436
Number of pages16
JournalInternational Journal of Systems Science
Volume53
Issue number11
DOIs
Publication statusPublished - 2022

Keywords

  • Liner parameter-varying systems
  • energy-to-peak filtering
  • parameter-dependent filter
  • random access protocol
  • resilient filter

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